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Latest news on our projects, seminars, presentations, publications and software.

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Preface

6 May 2013 - 8:26pm — Malcolm.Atkinson
M. Atkinson, “Preface”, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xix-xxviii.

Foreword

6 May 2013 - 8:22pm — Malcolm.Atkinson
T. Hey, “Foreword”, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xvii-xviii.

Dr Sandra Gesing returns to join the DIR group

3 May 2013 - 3:49pm — Malcolm.Atkinson

We are delighted to welcome Sandra back, some of you may remember her previous visits from the University of Tübingen, where she recently defended her PhD. We all congratulate her on that well deserved success. Her email address remains, sandra.gesing@uni-tuebingen.de. She can be found in room IF5.22. We will be working together on a graphical editor for DISPEL that also forms a proof-of-concept for a really versatile web-based generic workflow editor.

Topic of this submission: 
New staff
Projects: 
NRP
Research topics: 
Data-intensive computing

David Rodrìgues transfers to BRIC

3 May 2013 - 3:38pm — Malcolm.Atkinson

David Rodrìguez now has a research post in the Brain Research Imaging Centre, http://www.bric.ed.ac.uk, led by Professor Joanna Wardlaw, http://www.ccbs.ed.ac.uk/members/profile.asp?staffID=11. This is a modest change, as he will continue to work closely with the DIR group and drop into Informatics regularly; it is an inversion of his previous modus operandi of the last three years, where he was based in Informatics and visited BRIC at least two days per week.

Topic of this submission: 
Staff leaving
Projects: 
SINAPSE

VERCE WP9-JRA2: Architecture Components and Perspectives

1 May 2013 - 4:13pm — Malcolm.Atkinson
Speaker(s): 
Malcolm.Atkinson
Presentation Type: 
invited

An overview of the achievements of the architecture and tools work package in VERCE over the last 12 months:
* the mapping of the major CPU-intensive and data-intensive use cases to he one framework,
* the provision of an integrating framework supporting both discussion and implementation,
* the support of two demonstrators: from CPU & data-intensive use cases.
The plans for the next 12 months:
* scale up and reliability
* completion of the registry and other components needed for a quality beta test of the VERCE platform

Date and time: 
Thursday, 25 April, 2013 - 11:00
Location: 
Institut de Physique du Globe de Paris, Paris, France
Web site: 
Projects: 
VERCE
Research topics: 
Seismology

Big Data Introduction

1 May 2013 - 3:48pm — Malcolm.Atkinson
Speaker(s): 
Malcolm.Atkinson
Presentation Type: 
invited

The lecture covered the following topics, mainly via illustrative examples:

Date and time: 
Friday, 19 April, 2013 - 09:20
Location: 
Edinburgh, Dynamic Earth
Web site: 
Big Data Conference
Projects: 
VERCE
Research topics: 
Data-intensive computing

Bliss, ExTASY, DRIHMS and FrAGrenSCe: Get your AIMES Right!

3 April 2013 - 12:29pm — Malcolm.Atkinson
NeSC Research Seminar Series
Speaker: 
Drs Andre Luckow and Shantenu Jha from Rutgers University

This will be a talk in two parts: In the first part, we will motivate via a series of applications the concept of a scalable and general-purpose Pilot-Job. We will discuss the P* Model of Pilot-Jobs and present BigJob a SAGA-based Pilot-Job. In the second part of the talk, we focus on extension of the Pilot-Job concept to the challenge of "Big Data". Science that involves and depends upon large amounts of data, also requires overcoming various challenges, including managing large-scale data distribution and co-placement/scheduling with computing resources.

Date and time: 
Friday, 5 April, 2013 - 10:00
Length: 
60 minutes
Location: 
Turing Room (5.42), Informatics Forum
Projects: 
NRP
Research topics: 
Data-intensive computing

eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research

25 March 2013 - 4:13pm — Gary.McGilvary
NeSC Research Seminar Series
Speaker: 
Steve Kelling

eBird is a citizen-science project that takes advantage of the human observational capacity to identify birds to species, and uses these observations to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs a global network of observers who have submitted more than 100 million observations of birds, making it one of the largest biodiversity data sources in existence. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human

Date and time: 
Thursday, 14 March, 2013 - 11:00
Length: 
60 minutes
Location: 
IF433

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